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Data management
Data management is the development and execution of architectures, policies, practice and procedures in order to manage the information lifecycle needs of an activity in an effective manner. Illustrate data management concepts including backup and recovery, ILM, tiered storage and data placement based on usage. Compare backup techniques including network, snapshot, NDMP, Backup to Disk, Backup to Tape and Tape Virtualization. The tasks associated with maintaining and accessing data stored in data files.
DBMS packages provide Fourth generation programming languages (4GLs) and other application development features. It helps to specify the logical organization for a database and access and use the information within a database. It provides facilities for controlling data access implement data integrity managing concurrency, and restoring the database from backups. A DBMS also provides the ability to logically present database information to users.
Data Management Techniques:-
Quality assurance: - QA is the methodical monitoring and evaluation of the various aspects of a project, service or facility to exploit the probability that minimum standards of quality are being attained by the production process. QA cannot absolutely undertake the production of worth products.QA is defined as a procedure or set of procedures intended to ensure that a product or service under development (before work is complete, as opposed to afterwards) meets specified requirements. QA is sometimes expressed together with QC as a single expression, quality assurance and control (QA/QC).
Quality Control: -     Quality control is a process employed to ensure a certain level of quality in a product or service. It may include whatever actions a business deem necessary to provide for the control and verification of certain characteristics of a product or service. The basic goal of quality control is to ensure that the products, services, or processes provided meet specific requirements and are responsible, satisfactory, and economically sound.
Advantages of Data Management:-
The Database management systems are warehouses of information, where large amount of data can be stored. The common examples in commercial applications are inventory data, personnel data, etc. It often happens that a common man uses a database management system, without even realizing, that it is being used. The best examples for the same would be the address book of a cell phone, digital diaries, etc. Both these equipments store data in their internal database.
The most popular are the Oracle and SQL Server. The Oracle database is from the Oracle Corporation and the SQL Server is from the Microsoft Corporation. There are freely available database like MySQL. These are open source databases. Database Management Systems are available for personal computers and for huge systems like mainframes.
• Reduced data redundancy.
• Improve data access to users through use or host and query languages.
• Improved data security.
• Reduced data entry, storage, and salvage costs.
• Facilitated development of new applications program.
Disadvantages of Data management:-
File system Data management (or flat-file databases) served as the only method of file storage and retrieval before the advent of database management systems such as relational databases. While retaining some use, flat-file databases suffer from poor accessibility, data idleness, lack of standard file access and the failure to organize data.
   Data management is the development and execution of architectures, policies, practice and procedures in order to manage the information lifecycle needs of an activity in an effective manner. Illustrate data management concepts including backup and recovery, ILM, tiered storage and data placement based on usage. Compare backup techniques including network, snapshot, NDMP, Backup to Disk, Backup to Tape and Tape Virtualization. The tasks associated with maintaining and accessing data stored in data files.
   DBMS packages provide Fourth generation programming languages (4GLs) and other application development features. It helps to specify the logical organization for a database and access and use the information within a database. It provides facilities for controlling data access implement data integrity managing concurrency, and restoring the database from backups. A DBMS also provides the ability to logically present database information to users.

Data Management Techniques:
Quality assurance:
   QA is the methodical monitoring and evaluation of the various aspects of a project, service or facility to exploit the probability that minimum standards of quality are being attained by the production process. QA cannot absolutely undertake the production of worth products.QA is defined as a procedure or set of procedures intended to ensure that a product or service under development (before work is complete, as opposed to afterwards) meets specified requirements. QA is sometimes expressed together with QC as a single expression, quality assurance and control (QA/QC).

Quality Control:
   Quality control is a process employed to ensure a certain level of quality in a product or service. It may include whatever actions a business deem necessary to provide for the control and verification of certain characteristics of a product or service. The basic goal of quality control is to ensure that the products, services, or processes provided meet specific requirements and are responsible, satisfactory, and economically sound.

Advantages of Data Management:
   The Database management systems are warehouses of information, where large amount of data can be stored. The common examples in commercial applications are inventory data, personnel data, etc. It often happens that a common man uses a database management system, without even realizing, that it is being used. The best examples for the same would be the address book of a cell phone, digital diaries, etc. Both these equipments store data in their internal database. 
   The most popular are the Oracle and SQL Server. The Oracle database is from the Oracle Corporation and the SQL Server is from the Microsoft Corporation. There are freely available database like MySQL. These are open source databases. Database Management Systems are available for personal computers and for huge systems like mainframes.
  • Reduced data redundancy.
  • Improve data access to users through use or host and query languages.
  • Improved data security.
  • Reduced data entry, storage, and salvage costs.
  • Facilitated development of new applications program.
Disadvantages of Data management:
   File system Data management (or flat-file databases) served as the only method of file storage and retrieval before the advent of database management systems such as relational databases. While retaining some use, flat-file databases suffer from poor accessibility, data idleness, lack of standard file access and the failure to organize data.